Baijiong-Lin / Awesome-Multi-Objective-Deep-LearningLinks
A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.
☆86Updated 2 months ago
Alternatives and similar repositories for Awesome-Multi-Objective-Deep-Learning
Users that are interested in Awesome-Multi-Objective-Deep-Learning are comparing it to the libraries listed below
Sorting:
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆110Updated 7 months ago
- ☆35Updated last year
- ☆74Updated last year
- Evolution of Heuristics☆224Updated last month
- Summary of Multitasking Optimization☆91Updated last year
- Large Language Model for MOEA☆61Updated last year
- A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.☆116Updated 7 months ago
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆79Updated 4 months ago
- ☆48Updated last year
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆30Updated last year
- The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…☆89Updated 6 months ago
- A Collection on Large Language Models for Optimization☆299Updated last year
- multi-task learning for routing problem☆20Updated last year
- [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization☆171Updated last year
- Recent research papers about Foundation Models for Combinatorial Optimization☆389Updated this week
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆68Updated 3 months ago
- A collection of MetaBBO papers and code sources☆89Updated 4 months ago
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated last year
- Python implementation of SYMBOL☆17Updated last year
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆53Updated 2 years ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆224Updated last year
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆15Updated last year
- ☆27Updated 2 years ago
- MetaBox: Benchmarking Platform for Meta-Black-Box Optimization☆150Updated 3 weeks ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆101Updated 2 years ago
- Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".